Research Interests

David Donoho has studied the exploitation of sparse signals in signal recovery, including for denoising, superresolution, and solution of underdetermined equations. His work showed that L1 penalization was an effective and even optimal way to exploit sparsity and coined the notion of Compressed Sensing which has impacted many scientific and technical fields, including magnetic resonance imaging in medicine.

Membership Type

Member

Election Year

1998

Primary Section

Section 32: Applied Mathematical Sciences